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This connector has been deprecated

This connector has been replaced by https://glama.ai/mcp/connectors/io.favcrm/favcrm/admin

create_category

Create a CMS post category (e.g. "Equipment", "Injection — Botox"). For sub-categories, use namespaced names — the table is flat.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesCategory name
slugNoAuto-generated from name if omitted.
sortOrderNoSort order (lower = earlier)
descriptionNoDescription

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesTool result payload — shape varies per tool, see the tool description
summaryYesOne-line human-readable summary of the action
renderTypeYesUI rendering hint for the result

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=false, so 'create' is consistent. The description adds the flat-table behavior and namespacing requirement, which is useful beyond annotations. However, it does not disclose potential duplicate handling, permissions, or confirmation behavior; output schema likely covers return details but is not visible here. With annotations present, this is adequate but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the action and resource, and every clause adds value: the examples clarify usage, and the flat-table constraint prevents misuse. No filler or irrelevant information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simple create operation with 4 parameters, an output schema, and annotations, the description covers the essential context: what is created, examples, and a key sub-category caveat. It does not explain return values, but the output schema presumably covers that. A minor gap is lack of explicit alternative guidance, but that is handled in usage_guidelines. Overall, sufficiently complete for the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description adds contextual meaning for the name parameter (sub-category namespacing) and gives examples, but it does not add details for slug, sortOrder, or description beyond what the schema already provides. Thus it meets the baseline without exceeding it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Create a CMS post category' with concrete examples ('Equipment', 'Injection — Botox'). This clearly distinguishes it from sibling tools like create_product_category and create_service_category by specifying 'CMS post category'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It provides clear usage context: it is for CMS post categories, and it explicitly instructs on sub-category handling via namespaced names because 'the table is flat.' While it doesn't explicitly name alternatives or exclusions, the scope is well implied and the sub-category guidance is actionable.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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